flan-t5-base-qg-squad_v2

This model is a fine-tuned version of google/flan-t5-base on the squad_v2 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6469
• eval_rouge1: 39.1078
• eval_rouge2: 18.2571
• eval_rougeL: 35.879
• eval_rougeLsum: 35.8905
• eval_meteor: 34.5328
• eval_bleu4: 13.7701
• eval_bleu-p1: 39.9710
• eval_bleu-p2: 15.9261
• eval_bleu-p3: 9.5710
• eval_bleu-p4: 6.2028
• eval_gen_len: 14.6978
• eval_runtime: 1044.5092
• eval_samples_per_second: 11.367
• eval_steps_per_second: 1.422
• epoch: 3.0
• step: 48870

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=2.5005e-05
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3